Author(s)

Avinash Yadav¹, Inayeth Ali², Ahdy Helmy³, Maher Rizkalla^1,4

¹Department of Electrical and Computer Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
²Department of Mechanical and Energy Engineering, Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.
³Richard L. Roudebush Veterans Administration Medical Center, Indianapolis, IN, USA.
⁴Integrated Nanotechnology Development Institute (INDI), Indiana University-Purdue University Indianapolis (IUPUI), Indianapolis, IN, USA.

This paper presents a novel approach with Graphene devices that are highly sensitive in detecting IR energy. Current non-imaging techniques like ultrasonography have been proposed for thyroid diagnosis with limitations on ability to detect low-temperature distribution around the hot spot at the starting stage of the thyroid hyperthyroidism. The energy distribution around hotspot is minimal at the beginning stage. This detection may require ultra-high sensitive materials to the IR energy. A computer modeling using COMSOL software shows the thermal energy simulation of a thyroid gland with single or multiple active nodules. Data collection of the energy levels and condition of thyroid in the human body support the work investigated in this study. The study conducted here has shown as low as 0.1 - 5 mW IR power can be detected based on the Graphene device sensitivity. The paper details the simulation and approach for this non-invasive diagnosis.

Diagnosis, Non-Invasive, GNRFET, Thermography, Ultrasonography, IoT

Yadav, A. , Ali, I. , Helmy, A. and Rizkalla, M. (2019) High Sensitive Graphene Devices for Non-Invasive Early Diagnosis of Hyperthyroidism: A Feasibility Study. Journal of Biomedical Science and Engineering, 12, 522-532. doi: 10.4236/jbise.2019.1212043.